/*
 *
 *  * Copyright 2015 Skymind,Inc.
 *  *
 *  *    Licensed under the Apache License, Version 2.0 (the "License");
 *  *    you may not use this file except in compliance with the License.
 *  *    You may obtain a copy of the License at
 *  *
 *  *        http://www.apache.org/licenses/LICENSE-2.0
 *  *
 *  *    Unless required by applicable law or agreed to in writing, software
 *  *    distributed under the License is distributed on an "AS IS" BASIS,
 *  *    WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
 *  *    See the License for the specific language governing permissions and
 *  *    limitations under the License.
 *
 */

package org.deeplearning4j.text.tokenization.tokenizer;

import java.util.List;

/**
 * A representation of a tokenizer.
 * Different applications may require 
 * different kind of tokenization (say rules based vs more formal NLP approaches)
 * @author Adam Gibson
 *
 */
public interface Tokenizer {

	/**
	 * An iterator for tracking whether
	 * more tokens are left in the iterator not
	 * @return whether there is anymore tokens
	 * to iterate over
	 */
	boolean hasMoreTokens();
	/**
	 * The number of tokens in the tokenizer
	 * @return the number of tokens
	 */
	int countTokens();
	/**
	 * The next token (word usually) in the string
	 * @return the next token in the string if any
	 */
	String nextToken();
	
	/**
	 * Returns a list of all the tokens
	 * @return a list of all the tokens
	 */
	List<String> getTokens();
	
	/**
	 * Set the token pre process
	 * @param tokenPreProcessor the token pre processor to set
	 */
	void setTokenPreProcessor(TokenPreProcess tokenPreProcessor);
	
	
	
	
	
}
